Sunitinib Malate plus Lomustine for Patients with Temozolomide-refractory Recurrent Anaplastic or Low-grade Glioma.

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Sunitinib Malate plus Lomustine for Patients with Temozolomide-refractory Recurrent Anaplastic or Low-grade Glioma.

Anticancer Res. 2015 Oct;35(10):5551-7

Authors: Duerinck J, Du Four S, Sander W, Van Binst AM, Everaert H, Michotte A, Hau P, Neyns B

Abstract
Tyrosine kinase signaling through the vascular endothelial growth factor receptor 2 (VEGFR2), platelet-derived growth factor receptor- α (PDGFR-α) and KIT cell surface receptors mediates neo-angiogenesis and contributes to cancer cell survival in recurrent anaplastic and low-grade glioma. Thirteen patients with temozolomide-refractory recurrent anaplastic or low-grade glioma were treated with sunitinib malate, a small-molecule tyrosine kinase inhibitor of the VEGFR, PDGFR, and KIT receptors, in combination with lomustine. The most frequent grade 3 and 4 adverse events were fatigue, thrombocytopenia, neutropenia and lymphopenia. The best objective tumor response by Response Assessment in Neuro-Oncology (RANO) criteria was one complete response, one unconfirmed partial response and three cases of stable disease. The median progression-free survival was 1.8 months (95% confidence interval=1.0-2.7 months) with 6-month progression-free survival of 15% (95% confidence interval=0-35%). The median overall survival was 6.7 months (95% confidence interval=0.7-12 months). The investigated combination regimen of sunitinib and lomustine is well-tolerated but insufficiently active to warrant further investigation in an unselected population of patients with temozolomide-refractory recurrent anaplastic and low-grade glioma.

PMID: 26408725 [PubMed - indexed for MEDLINE]

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Timing in neural maturation: arrest, delay, precociousness, and temporal determination of malformations.

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Timing in neural maturation: arrest, delay, precociousness, and temporal determination of malformations.

Pediatr Neurol. 2015 May;52(5):473-86

Authors: Sarnat HB, Philippart M, Flores-Sarnat L, Wei XC

Abstract
Timing is primordial in initiating and synchronizing each developmental process in tissue morphogenesis. Maturational arrest, delay, and precociousness all are conducive to neurological dysfunction and may determine different malformations depending on when in development the faulty timing occurred, regardless of the identification of a specific genetic mutation or an epigenetic teratogenic event. Delay and arrest are distinguished by whether further progressive development over time can be expected or the condition is static. In general, retardation of early developmental processes, such as neurulation, cellular proliferation, and migration, leads to maturational arrest. Retardation of late processes, such as synaptogenesis and myelination, are more likely to result in maturational delay. Faulty timing of neuronal maturation in relation to other developmental processes causes neurological dysfunction and abnormal electroencephalograph maturation in preterm neonates. Precocious synaptogenesis, including pruning to provide plasticity, may facilitate prenatal formation of epileptic circuitry leading to severe postnatal infantile epilepsies. The anterior commissure forms 3 weeks earlier than the corpus callosum; its presence or absence in callosal agenesis is a marker for the onset of the initial insult. An excessively thick corpus callosum may be due to delayed retraction of transitory collateral axons. Malformations that arise at different times can share a common pathogenesis with variations on the extent: timing of mitotic cycles in mosaic somatic mutations may distinguish hemimegalencephaly from focal cortical dysplasia type 2. Timing should always be considered in interpreting cerebral dysgeneses in both imaging and neuropathological diagnoses.

PMID: 25797487 [PubMed - indexed for MEDLINE]

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[Mechanisms of growth, development and disease of the craniofacial skeleton].

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[Mechanisms of growth, development and disease of the craniofacial skeleton].

Clin Calcium. 2016;26(1):140-5

Authors: Yamashiro T

Abstract
Craniofacial skeleton is derived from several pieces of bone, which hold the brain and house the sensory organ of vision, hearing, taste and smell. It also serves as an entrance of the digestive and respiratory tracts. Hence, craniofacial complex develops under sophisticated balance between the shape and the function. Disruption of such balance leads to various types of malformation and/or deformation of the face. This review focuses on the molecular aspects of growth and developments of the craniofacial structures and also on the genetic basis of congenital craniofacial malformations.

PMID: 26728542 [PubMed - in process]

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Ferrocene-containing non-interlocked molecular machines

Chem. Commun., 2016, Advance Article
DOI: 10.1039/C5CC09569G, Feature Article

Synove O. Scottwell, James D. Crowley
Ferrocene is chemically robust and readily functionalized which enables its facile incorporation into more complex molecular systems. This coupled with ferrocene's reversible redox properties and ability to function as a "molecular ball bearing" has led to the use of ferrocene as a component in wide range of non-interlocked synthetic molecular machine systems.
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Nanoelectrodes reveal the electrochemistry of single nickelhydroxide nanoparticles

Chem. Commun., 2016, Advance Article
DOI: 10.1039/C5CC08796A, Communication

Open Access

  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.

Jan Clausmeyer, Justus Masa, Edgar Ventosa, Dennis Ohl, Wolfgang Schuhmann
Individual Ni(OH)₂ nanoparticles deposited on carbon nanoelectrodes are investigated in non-ensemble measurements with respect to their energy storage properties and electrocatalysis for the oxygen evolution reaction (OER).
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Novel hollow and yolk-shell structured periodic mesoporous polymer nanoparticles

Chem. Commun., 2016, Advance Article
DOI: 10.1039/C5CC09028H, Communication

Yeru Liang, Weicong Mai, Junlong Huang, Zhike Huang, Ruowen Fu, Mingqiu Zhang, Dingcai Wu, Krzysztof Matyjaszewski
Novel hollow and yolk-shell structured periodic mesoporous polymer nanoparticles were prepared by the development of an efficient reactive interface-guided co-assembly approach.
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Single point mutation detection in living cancer cells by far-red emitting PNA-FIT probes

Chem. Commun., 2016, Advance Article
DOI: 10.1039/C5CC07502E, Communication

N. Kolevzon, D. Hashoul, S. Naik, A. Rubinstein, E. Yavin
SNP detection of the mutated kRAS oncogene in living cells is shown to be achieved for the first time by cell-permeable and far-red emitting PNA-FIT probes.
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Pituitary apoplexy: considerations on a single center experience and review of the literature

Abstract

Purpose

To present a single-center experience on pituitary tumor apoplexy and a review of literature focusing on predisposing and precipitating factors.

Methods

Clinical presentation of our series of cases. Contemporary published literature is also reviewed.

Results

The definition of this syndrome has not been consistent although now the majority of authors agree to definite it as an acute condition caused by hemorrhage or infarction of a pre-existing pituitary adenoma. Different predisposing and precipitating factors have been described in literature; among these antithrombotic and anticoagulant drugs, seem to play relevant roles. The clinical cases observed in our clinic confirm these data and suggest a probable association between elderly patients taking anticoagulant therapy and pituitary apoplexy adenoma.

Conclusion

Pituitary tumor apoplexy remains a challenging disease in relation to difficulties in correct diagnosis and thus in appropriate treatment. Antithrombotic/anticoagulant therapy may have an important role as precipitating factor. When a pituitary disorder is known, great care should be taken in the prescription of anticoagulant therapy.

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How to define hypogonadism? Results from a population of men consulting for sexual dysfunction

Abstract

Purpose

The thresholds for testost erone (T) and the symptoms required for defining late onset hypogonadism (LOH) are under debate. The aims of the study are: (1) to verify the association between total and calculated free T (cfT) and sexual symptoms and (2) to identify thresholds for total and calculated free T to discriminate symptomatic from asymptomatic men.

Methods

A consecutive series of 4890 men attending the outpatient clinic for sexual dysfunction was retrospectively studied. Biochemical parameters were collected. The relationships between symptoms and total or calculated free T were evaluated as LOESS curves.

Results

Severe impairment in morning erections, low libido and ED were reported by 14.6, 2.7 and 60.2 %, respectively. Simultaneous presence of severe ED and impaired morning erections or low desire was reported by 12.7 and 1.9 %, respectively. Severely reduced desire and morning erections were complained of by 1.0 %. The simultaneous presence of the three severe sexual symptoms was reported by 0.8 %. Receiver operating characteristic (ROC) curve analysis showed that the highest accuracy for total T and cfT in detecting subjects with two symptoms was observed for reduced morning erections and desire (area under the ROC curve [AUC] = 0.670 ± 0.04 and 0.747 ± 0.04, for total T and cfT, respectively, both p < 0.0001). The addition of the third symptom, ED, further improved the accuracy (AUC = 0.681 ± 0.05 and 0.784 ± 0.04, for total T and cfT, respectively, both p < 0.0001). The assessment of the Youden index showed that the best thresholds for detecting men with androgen deficiency-related symptoms are 10.4 nmol/L for total T and ranges 225–260 pmol/L for cfT.

Conclusions

The simultaneous presence of reduced morning erections and desire is the cluster of symptoms that, along with total T < 10.4 nmol/L or cfT <225 pmol/L, defines LOH in a specific, evidence-based manner.

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Photoorganocatalysed and visible light photoredox catalysed trifluoromethylation of olefins and (hetero)aromatics in batch and continuous flow

Chem. Commun., 2016, Advance Article
DOI: 10.1039/C5CC09881E, Communication

Quentin Lefebvre, Norbert Hoffmann, Magnus Rueping
Trifluoromethylation of olefins and (hetero)aromatics with sodium triflinate as CF₃ source and readily accessible benzophenone derivatives as photosensitisers has been developed in batch and flow.
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Phosphorescent columnar hybrid material containing polyionic inorganic nanoclusters

Chem. Commun., 2016, Accepted Manuscript
DOI: 10.1039/C5CC09110A, Communication

Susanta K. Nayak, Maria Amela-Cortes, Manuel Neidhardt, Stuart James Beardsworth, Jochen Kirres, Markus Mansueto, Stephane Cordier, Sabine Laschat, Yann Molard
Red NIR phosphorescent transition metal nanocluster ternary polyionic compound Cs2Mo6Br14 and 18-crown-6 ethers bearing two o-terphenyl units have been combined to obtain phosphorescent columnar liquid crystalline hybrid materials. Despite the...
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Understanding the Experience of Age-Related Vestibular Loss in Older Individuals: A Qualitative Study

Abstract

Background

Inner ear balance (or vestibular) function declines with age and is associated with decreased mobility and an increased risk of falls in older individuals. We sought to understand the lived experience of older adults with vestibular loss in order to improve care in this population.

Methods

Qualitative data were derived from semi-structured interviews of individuals aged 65 years or older presenting to the Balance and Falls Prevention Clinic from February 1, 2014 to March 30, 2015 for evaluation of age-related vestibular loss. Transcripts were analyzed using interpretive phenomenological analysis. We created a taxonomy of overarching superordinate themes based on the World Health Organization's International Classification of Functioning, Disability, and Health (ICF) Framework, and classified key dimensions within each of these themes.

Results

Sixteen interviews were conducted with individuals (mean age 76.0 years, 75 % female) with age-related vestibular loss. The three superordinate themes and associated key dimensions were (1) body impairment (including depression, fatigue, fear/anxiety, and problems with concentrating and memory); (2) activity limitation and participation restriction (isolation, needing to stop in the middle of activities, reduced participation relative to expectations, reduced ability to drive or travel, and problems with bending/looking up, standing, and walking); and (3) environmental influences (needing help with daily activities). All participants reported difficulty walking.

Conclusions

Older adults report that vestibular loss impacts their body functioning and restricts their participation in activities. The specific key dimensions uncovered by this qualitative study can be used to evaluate care from the patient's perspective.

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Authors’ reply.

Authors' reply.

J Laryngol Otol. 2015 Oct;129(10):1040-1

Authors: Ahmed MR

PMID: 26730418 [PubMed - in process]

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Retrial queues with balanced call blending: analysis of single-server and multiserver model

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Low-dose irradiation affects the functional behavior of oral microbiota in the context of mucositis

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MRI segmentation of the human brain: challenges, methods, and applications

Image segmentation is one of the most important tasks in medical image analysis and is often the first and the most critical step in many clinical applications. In brain MRI analysis, image segmentation is commonly used for measuring and visualizing the brain's anatomical structures, for analyzing brain changes, for delineating pathological regions, and for surgical planning and image-guided interventions. In the last few decades, various segmentation techniques of different accuracy and degree of complexity have been developed and reported in the literature. In this paper we review the most popular methods commonly used for brain MRI segmentation. We highlight differences between them and discuss their capabilities, advantages, and limitations. To address the complexity and challenges of the brain MRI segmentation problem, we first introduce the basic concepts of image segmentation. Then, we explain different MRI preprocessing steps including image registration, bias field correction, and removal of nonbrain tissue. Finally, after reviewing different brain MRI segmentation methods, we discuss the validation problem in brain MRI segmentation.

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Using data merging techniques for generating multidocument summarizations

In this paper, we examine how we can use data merging techniques to summarize a set of coreferent documents that has been clustered while using soft computing techniques. The main focus of this paper lies on the f(beta)-optimal merge function (a function newly introduced here), which that uses the weighted harmonic mean to find a balance between precision and recall. The global precision and recall measures mentioned are defined by means of a triangular norm receiving local precision and recall values as an input, in order to generate a multiset of key concepts that we can use to generate summarizations. The f(beta)-optimal merge function is compared with a distance-based merge function and several pointwise merge functions from both a theoretical and an experimental point of view. It will be shown that the f(beta)-optimal merge function has quite a few advantages over the others, especially if one looks at the practical usage in the context of data merging and summarizing multiple documents concerning the same topic.

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Improving the energy efficiency of scheduling algorithms for OPS/OBS buffers

With ever-increasing demands for bandwidth, optical packet/burst switching is used to utilize more of the available capacity of optical networks. In existing prototypes of optical switches, packet contention is resolved by combining time and wavelength multiplexing by means of fiber delay lines and wavelength converters. Although optical switches dissipate less energy than their electronic counterparts, their consumption remains substantial. Since wavelength converters contribute significantly to the switches overall energy consumption, they should be powered only when needed. Existing scheduling algorithms, however, do not take the usage of wavelength converters (and the related energy consumption) into account. To this end, we developed and evaluated new cost-based scheduling algorithms, which take both gap and delay into account to schedule an incoming packet. The performance improvement of these algorithms over existing algorithms can be traded off for a significant reduction in up-time of the wavelength converters by introducing a conversion cost in the involved cost function. This is backed by Monte Carlo simulation results, in which the algorithms are applied both in a void-filling and non-void-filling setting. The algorithms are of the same implementation complexity as existing algorithms, and thus of immediate value to switch designers.

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Extrinsic calibration of camera networks using a sphere

In this paper, we propose a novel extrinsic calibration method for camera networks using a sphere as the calibration object. First of all, we propose an easy and accurate method to estimate the 3D positions of the sphere center w.r.t. the local camera coordinate system. Then, we propose to use orthogonal procrustes analysis to pairwise estimate the initial camera relative extrinsic parameters based on the aforementioned estimation of 3D positions. Finally, an optimization routine is applied to jointly refine the extrinsic parameters for all cameras. Compared to existing sphere-based 3D position estimators which need to trace and analyse the outline of the sphere projection in the image, the proposed method requires only very simple image processing: estimating the area and the center of mass of the sphere projection. Our results demonstrate that we can get a more accurate estimate of the extrinsic parameters compared to other sphere-based methods. While existing state-of-the-art calibration methods use point like features and epipolar geometry, the proposed method uses the sphere-based 3D position estimate. This results in simpler computations and a more flexible and accurate calibration method. Experimental results show that the proposed approach is accurate, robust, flexible and easy to use.

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Smart city mobility application: gradient boosting trees for mobility prediction and analysis based on crowdsourced data

Mobility management represents one of the most important parts of the smart city concept. The way we travel, at what time of the day, for what purposes and with what transportation modes, have a pertinent impact on the overall quality of life in cities. To manage this process, detailed and comprehensive information on individuals' behaviour is needed as well as effective feedback/communication channels. In this article, we explore the applicability of crowdsourced data for this purpose. We apply a gradient boosting trees algorithm to model individuals' mobility decision making processes (particularly concerning what transportation mode they are likely to use). To accomplish this we rely on data collected from three sources: a dedicated smartphone application, a geographic information systems-based web interface and weather forecast data collected over a period of six months. The applicability of the developed model is seen as a potential platform for personalized mobility management in smart cities and a communication tool between the city (to steer the users towards more sustainable behaviour by additionally weighting preferred suggestions) and users (who can give feedback on the acceptability of the provided suggestions, by accepting or rejecting them, providing an additional input to the learning process).

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Robust monocular visual odometry for road vehicles using uncertain perspective projection

Many emerging applications in the field of assisted and autonomous driving rely on accurate position information. Satellite-based positioning is not always sufficiently reliable and accurate for these tasks. Visual odometry can provide a solution to some of these shortcomings. Current systems mainly focus on the use of stereo cameras, which are impractical for large-scale application in consumer vehicles due to their reliance on accurate calibration. Existing monocular solutions on the other hand have significantly lower accuracy. In this paper, we present a novel monocular visual odometry method based on the robust tracking of features in the ground plane. The key concepts behind the method are the modeling of the uncertainty associated with the inverse perspective projection of image features and a parameter space voting scheme to find a consensus on the vehicle state among tracked features. Our approach differs from traditional visual odometry methods by applying 2D scene and motion constraints at the lowest level instead of solving for the 3D pose change. Evaluation both on the public KITTI benchmark and our own dataset show that this is a viable approach for visual odometry which outperforms basic 3D pose estimation due to the exploitation of the largely planar structure of road environments.

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Generalized graph-based fusion of hyperspectral and LiDAR data using morphological features

Nowadays, we have diverse sensor technologies and image processing algorithms that allow one to measure different aspects of objects on the Earth [e.g., spectral characteristics in hyperspectral images (HSIs), height in light detection and ranging (LiDAR) data, and geometry in image processing technologies, such as morphological profiles (MPs)]. It is clear that no single technology can be sufficient for a reliable classification, but combining many of them can lead to problems such as the curse of dimensionality, excessive computation time, and so on. Applying feature reduction techniques on all the features together is not good either, because it does not take into account the differences in structure of the feature spaces. Decision fusion, on the other hand, has difficulties with modeling correlations between the different data sources. In this letter, we propose a generalized graph-based fusion method to couple dimension reduction and feature fusion of the spectral information (of the original HSI) and MPs (built on both HS and LiDAR data). In the proposed method, the edges of the fusion graph are weighted by the distance between the stacked feature points. This yields a clear improvement over an older approach with binary edges in the fusion graph. Experimental results on real HSI and LiDAR data demonstrate effectiveness of the proposed method both visually and quantitatively.

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Informed constrained spherical deconvolution (iCSD)

Diffusion-weighted (DW) magnetic resonance imaging (MRI) is a noninvasive imaging method, which can be used to investigate neural tracts in the white matter (WM) of the brain. However, the voxel sizes used in DW-MRI are relatively large, making DW-MRI prone to significant partial volume effects (PVE). These PVEs can be caused both by complex (e.g. crossing) WM fiber configurations and non-WM tissue, such as gray matter (GM) and cerebrospinal fluid. High angular resolution diffusion imaging methods have been developed to correctly characterize complex WM fiber configurations, but significant non-WM PVEs are also present in a large proportion of WM voxels. In constrained spherical deconvolution (CSD), the full fiber orientation distribution function (fODF) is deconvolved from clinically feasible DW data using a response function (RF) representing the signal of a single coherently oriented population of fibers. Non-WM PVEs cause a loss of precision in the detected fiber orientations and an emergence of false peaks in CSD, more prominently in voxels with GM PVEs. We propose a method, informed CSD (iCSD), to improve the estimation of fODFs under non-WM PVEs by modifying the RF to account for non-WM PVEs locally. In practice, the RF is modified based on tissue fractions estimated from high-resolution anatomical data. Results from simulation and in-vivo bootstrapping experiments demonstrate a significant improvement in the precision of the identified fiber orientations and in the number of false peaks detected under GM PVEs. Probabilistic whole brain tractography shows fiber density is increased in the major WM tracts and decreased in subcortical GM regions. The iCSD method significantly improves the fiber orientation estimation at the WM-GM interface, which is especially important in connectomics, where the connectivity between GM regions is analyzed.

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Weakly convex discontinuity adaptive regularization for 3D quantitative microwave tomography

We present an analysis of weakly convex discontinuity adaptive (WCDA) models for regularizing three-dimensional (3D) quantitative microwave imaging. In particular, we are concerned with complex permittivity reconstructions from sparse measurements such that the reconstruction process is significantly accelerated. When dealing with such a highly underdetermined problem, it is crucial to employ regularization, relying in this case on prior knowledge about the structural properties of the underlying permittivity profile: we consider piecewise homogeneous objects. We present a numerical study on the choice of the potential function parameter for the Huber function and for two selected WCDA functions, one of which (the Leclerc-Cauchy-Lorentzian function) is designed to be more edge-preserving than the other (the Leclerc-Huber function). We evaluate the effect of reducing the number of (simulated) scattered field data on the reconstruction quality. Furthermore, reconstructions from subsampled single-frequency experimental data from the 3D Fresnel database illustrate the effectiveness of WCDA regularization.

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Segmented face approximation with adaptive region growing based on low-degree polynomial fitting

Nowadays, an objective in visual communication is to send and store images of faces at a low bit rate, such that the faces are still recognizable and that the compression does not prevent remote face analysis. We present a novel segmented face approximation algorithm. Greyscale face images are segmented into meaningful surface segments with an adaptive region growing algorithm based on low-degree polynomial fitting. The algorithm uses a new adaptive thresholding technique with the L-infinity fitting cost as a segmentation criterion. The polynomial degree and the fitting error are automatically adapted during the region growing process. The main novelty is that the algorithm detects outliers and edges, distinguishes between strong and smooth intensity transitions and finds surface segments that are bent in a certain way, such as flat, planar, convex, concave or saddle patches. As a result, the surface segments correspond to facial features and the contours separating the surface segments coincide with real image face edges. Moreover, the curvature-based surface shape information facilitates many tasks in automated face analysis, demonstrated in this paper by face verification performed on the polynomial representation. The polynomial representation provides good approximation of facial features, while preserving all the necessary details of the face in the reconstructed image. When compared with different compression methods, we achieve higher compression ratios and better recognizable faces at low bit rates. This is confirmed by correct identification percentages obtained by face recognition algorithms on the compressed data.

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Selecting patients with spondyloarthritis (SpA) or rheumatoid arthritis (RA) for antiTNF-alfa treatment: first scintigraphic data with Tc99m-labelled certolizumab pegol

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F-18 labelled fluoromethylcholine distribution patterns in brain lesions and normal structures of the head

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Absorption, distribution and elimination of carnosic acid: a natural antioxidant from Rosmarinus officinalis, in rats

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Intestinal volvulus related to malrotation in adults

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Laparoscopic Completion Pancreatectomy for Local Recurrence in the Pancreatic Remnant after Pancreaticoduodenectomy: Case Reports and Review of the Literature

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Facility-based delivery in the context of Zimbabwe’s HIV epidemic – missed opportunities for improving engagement with care: A community-based serosurvey

BMC Pregnancy and Childbirth

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No easy answers in UW study of legal marijuana's impact on alcohol use

University of Washington Health and Medicine News

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Recommendations for best communication practices to facilitate goal-concordant care for seriously ill older patients with emergency surgical conditions

Annals of Surgery

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Optimizing nurse capacity in a teaching hospital neonatal intensive care unit

Health Care Management Science

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A randomised control trial of an Internet-based cognitive behaviour treatment for mood disorder in adults with chronic spinal cord injury

Spinal Cord

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Orbit fractures: Identifying patient factors indicating high risk for ocular and periocular injury

The Laryngoscope

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The old man and the C-spine fracture: Impact of halo vest stabilization in patients with blunt cervical spine fractures

The Journal of Trauma and Acute Care Surgery

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Nasal HFOV with binasal cannula appears effective and feasible in ELBW newborns

Journal of Tropical Pediatrics

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Effects of serum uric acid on estimated GFR in cardiac surgery patients: A pilot study

American Journal of Nephrology

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Epithelial downgrowth after multiple surgeries and trauma

Journal of Cataract & Refractive Surgery

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The use of an institutional pediatric abdominal trauma protocol improves resource use

The Journal of Trauma and Acute Care Surgery

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The long-term cost to the UK NHS and social services of different durations of IV Thiamine (Vitamin B1) for chronic alcohol misusers with symptoms of Wernicke’s Encephalopathy presenting at the emergency department

Applied Health Economics and Health Policy

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Prevention of falls in acute hospital settings: A multi-site audit and best practice implementation project

International Journal for Quality in Health Care

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Postpartum hemorrhage: Guidelines for clinical practice from the French College of Gynaecologists and Obstetricians (CNGOF)

European Journal of Obstetrics & Gynecology and Reproductive Biology

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Infectious disease–related emergency department visits of elderly adults in the United States, 2011–2012

Journal of the American Geriatrics Society

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Outcomes following discontinuation of E. coli l-asparaginase upon severe allergic reactions in children with acute lymphoblastic leukemia

Pediatric Blood & Cancer

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A systematic review of the impact of dedicated emergency surgical services on patient outcomes

Annals of Surgery

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Spectrum of ocular firework injuries in children: A 5-year retrospective study during a festive season in Southern India

Indian Journal of Ophthalmology

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Activities of a Medical Emergency Team: A prospective observational study of 795 calls

Anesthesia and Intensive Care

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MU disaster-relief technology to be displayed at National Trade Show

University of Missouri School of Medicine News

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